Face tracking using optical flow development of a real-time adaboost cascade face tracker
dc.contributor.author | Ranftl, Andreas | |
dc.contributor.author | Alonso-Fernandez, Fernando | |
dc.contributor.author | Karlsson, Stefan | |
dc.contributor.editor | Brömme, Arslan | |
dc.contributor.editor | Busch, Christoph | |
dc.contributor.editor | Rathgeb, Christian | |
dc.contributor.editor | Uhl, Andreas | |
dc.date.accessioned | 2017-06-30T08:19:16Z | |
dc.date.available | 2017-06-30T08:19:16Z | |
dc.date.issued | 2015 | |
dc.description.abstract | In this paper a novel face tracking approach is presented where optical flow information is incorporated into the Viola-Jones face detection algorithm. In the original algorithm from Viola and Jones face detection is static as information from previous frames is not considered. In contrast to the Viola- Jones face detector and also to other known dynamic enhancements, the proposed face tracker preserves information about near-positives. The algorithm builds a likelihood map from the intermediate results of the Viola-Jones algorithm which is extrapolated using optical flow. The objects get extracted from the likelihood map using image segmentation techniques. All steps can be computed very efficiently in real-time. The tracker is verified on the Boston Head Tracking Database showing that the proposed algorithm outperforms the standard Viola-Jones face detector. | en |
dc.identifier.isbn | 978-3-88579-639-8 | |
dc.identifier.pissn | 1617-5468 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | BIOSIG 2015 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-245 | |
dc.title | Face tracking using optical flow development of a real-time adaboost cascade face tracker | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 48 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 39 | |
gi.conference.date | 9.-11. September 2015 | |
gi.conference.location | Darmstadt |
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